Banks and asset managers relied on global teams to backup and transfer workloads during the pandemic. But, in moments of crisis, exposure to operational risks, model risks, cybersecurity attacks, and fraud can increase exponentially.
With the proliferation of algorithms in currency markets and regulatory pressure to prove best execution, buy-side trading desks are adopting algorithms to source liquidity and lower trading costs in FX trading.
Increasingly banks are turning to the field of natural language processing (NLP) and machine learning to extract valuable information from voice, documents, and audio to boost productivity on trading desks. It’s all part of a broader push to gain efficiencies by training machines and bots to analyze language, capture insights, and replace manual tasks and drive workflows further downstream.
As asset managers become more data-driven in their analysis of execution quality, they are reallocating order flows among their broker-dealer relationships at a faster pace.
Amid all the fire and fury of the battle over costs, there are signs that buy-and sell-side firms have shifted some of their execution needs for data over to consolidated market data feeds.
With volatility spiking in global stock and bond markets, there’s been a profound shift in market psychology from chasing higher yields to focusing on risk in the credit markets. FlexTrade’s Ivy Schmerken investigates.
Among the key benefits of artificial intelligence is that it can analyze large volumes of structured and unstructured data more quickly than humans do, which can boost productivity. FlexTrade’s Ivy Schmerken examines.